Triple
T38422592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For the Fallen |
E903270
|
entity |
| Predicate | famousLines |
P154265
|
FINISHED |
| Object | They shall grow not old, as we that are left grow old |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: They shall grow not old, as we that are left grow old | Statement: [For the Fallen, famousLines, They shall grow not old, as we that are left grow old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousLines Context triple: [For the Fallen, famousLines, They shall grow not old, as we that are left grow old]
-
A.
famousLineSpeaker
Indicates that the subject is the person who spoke or delivered the famous line referenced by the object.
-
B.
famousLineTheme
Indicates that a particular theme is expressed or encapsulated by a famous line.
-
C.
famousLineSourceOde
Indicates that one entity is the source or origin of a famous line found in the ode represented by the other entity.
-
D.
isFamousExcerptOf
chosen
Indicates that one text passage is a well-known or widely recognized excerpt taken from a larger work.
-
E.
characterCatchphrase
Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.